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adrc

v1

arduino-pid-autotune-library

autoste

Example code for autonomous source term estimation using a mobile sensor

casadi-2d-uav-collision-avoidance

An optimal collision avoidance algorithm is developed for multi-UAVs

casadi_mpc_mhe_python

This repository is an implementation of the work from Mohamed W. Mehrez. I convert the original code in MATLAB to the Python

control-theory

control theory repo

controlalgrithems

This is the learning notes for some videos and demos.

deepkoopman

neural networks to learn Koopman eigenfunctions

dual_control_hri

Implementation of implicit dual control-based active uncertainty learning for human-robot interaction.

dual_quaternion

fartoystyring_a3

Marine ship navigation assignment in the Guidance and Control of Vehicles course

github-readme-stats

:zap: Dynamically generated stats for your github readmes

intelligent_early_warning_system

用于检测船员到岗情况并可以识别7种常见的船员动作(This project aims to provide early warning by analyzing the action of people in the ship's cockpit.)

kalman-filter-for-beginners

Sample code in MATLAB/Octave for "Kalman Filter for Beginners"

lexicographic_planning

A Receding Horizon Multi-Objective Planner for Autonomous Surface Vehicles in Urban Waterways

mpc-and-mhe-implementation-in-matlab-using-casadi

This is a workshop on implementing model predictive control (MPC) and moving horizon estimation (MHE) on Matlab.

mpc4amvs

Code for the book

mpc_rl

Double Inverted Pendulum Swing-Up and Stabilization using MPC and RL

mss

Marine Systems Simulator (MSS)

myblog

nlgreyfast

Toolbox for system identification of nonlinear state space grey-box models using CasADi

pythonvehiclesimulator

The Python Vehicle Simulator is a supplement to the textbox; T. I. Fossen (2021). Handbook of Marine Craft Hydrodynamics and Motion Control. 2nd. Edition, Wiley. URL: www.fossen.biz/wiley

radar_test_demo

航海雷达测试demo

real-time-nmpc-for-usvs-casadi

ICMRE-2021 coference paper codes

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

resources

The model for the related motor control issues

sens_paramid

Online parameter estimation in the DFN / SPMeT leveraging parameter sensitivity information computed via CasADi

shipcontrol3d

用于船舶控制方法研究的3D船舶运动仿真软件。控制策略包括：普通动力定位，环境最优动力定位、最优艏向动力定位等。控制方法：PID、模型预测控制方法等，环境模型采用船舶统一模型。

simulink-fmus

A collection of FMUs written in Simulink